DocumentCode
2961665
Title
Microcalcification enhancement and classification on mammograms using the wavelet transform
Author
Docusse, Tiago Alexandre ; Furlani, Jullyene R. ; Romano, Rodolfo P. ; Guido, Rodrigo C. ; Chen, Shi-Huang ; Marranghello, Norian ; Pereira, Aledir S.
Author_Institution
Dept. de Cienc. de Comput. e Estatistica, Univ. Estadual Paulista, Sao Jose
fYear
2008
fDate
1-8 June 2008
Firstpage
3181
Lastpage
3186
Abstract
This paper presents a method to enhance microcalcifications and classify their borders by applying the wavelet transform. Decomposing an image and removing its low frequency sub-band the microcalcifications are enhanced. Analyzing the effects of perturbations on high frequency sub-band itpsilas possible to classify its borders as smooth, rugged or undefined. Results show a false positive reduction of 69.27% using a region growing algorithm.
Keywords
image classification; image enhancement; mammography; medical image processing; wavelet transforms; false positive reduction; image decomposing; mammograms; microcalcification classification; microcalcification enhancement; region growing algorithm; wavelet transform; Neural networks; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634248
Filename
4634248
Link To Document